DS 233: Intro to Data Science II

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DS 233: Intro to Data Science II -- Schedule (spring2025)

Tentative - subject to change as course progresses

Date Description Weeks
2/6/2025IntroductionWeek 1
2/11/2025, 2/13/2025Basic Python programming; Getting dataWeek 2
2/18/2025, 2/20/2025Working with data, cleaning and manipulating data; Machine LearningWeek 3
2/25/2025, 2/27/2025k-Nearest Neighbor; Naive BayesWeek 4
3/4/2025, 3/6/2025Simple Linear Regression; Multiple regressionWeek 5
3/11/2025, 3/13/2025Logistic Regression; Practical data analysis catch-upWeek 6
3/18/2025, 3/20/2025Catch-up and review.
Mid-term exam
Week 7
3/25/2025, 3/27/2025 (Spring break, no class)Spring breakWeek 8
4/1/2025, 4/3/2025(Extended spring break on Tuesday)Review mid term, Cloud computing(Google Cloud), Data Ethics
Invited talk and discussion about Ethics in data science
Week 9
4/8/2025, 4/10/2025Decision Tree, Neural NetworksWeek 10
4/15/2025, 4/17/2025Catch-up for homework of decision, coronavirus prediction, neural network and final project. Clustering, Natural Language Processing, Network analysis and recommender systemWeek 11
4/22/2025, 4/24/2025Databases and SQLWeek 12
4/29/2025, 5/1/2025Catch-upWeek 13
5/6/2025, 5/8/2025Topics of Data science on social networks, finance data, text mining, bio-tech analysis, web data.Week 14
5/13/2025, 5/15/2025Data science in Business, Biology, Geoscience, etc.
Final project presentation (Report due on May 24th)
Final Exams Review
Week 15
Final exam weekWednesday, May 21st, 10:30 a.m. - 12:30 p.m.Week 16